Michael Christl

597 citations
34 papers · 279 · h-index 9

Impact in

Papers in

Michael Christl

28 papers receiving 264 citations

Peers

Michael Christl
Comparison fields: 5 of 59
  • Economics and Econometrics 178
  • Modeling and Simulation 20
  • General Health Professions 87
  • Gender Studies 32
  • Accounting 33
Replace Silvia De Poli with:
Silvia De Poli Spain
François Gérard United States
Denisa Maria Sologon Luxembourg
Iva Tasseva United Kingdom
Alberto Tumino United Kingdom
Peter Levell United Kingdom
David Splinter United States
Melanie Khamis United States
Iga Magda Poland
Surbhi Kesar India
Michael Christl relative to Silvia De Poli Spain Silvia De Poli's profile →
Citations per field
00.5×1.5×
Silvia De Poli · 1×
Citations per year

Countries citing papers authored by Michael Christl

Since Specialization
Citations

This map shows the geographic impact of Michael Christl's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael Christl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Christl more than expected).

Fields of papers citing papers by Michael Christl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Christl. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael Christl. The network helps show where Michael Christl may publish in the future.

Co-authors

The 14 scholars most cited alongside Michael Christl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Christl Line = papers co-authored together Michael Christl links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021100
2 202032
3 201918
4 202115
5 202214
6 202313
7 202211
8 20179
9 20209
10 20228
11 20168
12 20227
13 20206
14 20185
15 20234
16 20214
17 20173
18 20232
19 20162
20
Beschäftigungseffekte von Mindestlöhnen: Die Dosis macht das Gift
20191

About Michael Christl

Michael Christl is a scholar working on Economics and Econometrics, General Health Professions, Gender Studies, Political Science and International Relations and Accounting, having authored 34 papers that have together received 279 indexed citations. Recurring topics across this work include Gender, Labor, and Family Dynamics (12 papers), Fiscal Policy and Economic Growth (9 papers), Labor market dynamics and wage inequality (9 papers), Employment and Welfare Studies (8 papers), Financial Literacy, Pension, Retirement Analysis (5 papers), Social Policy and Reform Studies (4 papers), Regional Development and Policy (4 papers) and Global Health Care Issues (4 papers). The work is most often cited by research in Economics and Econometrics (178 citations), Modeling and Simulation (20 citations), General Health Professions (87 citations), Gender Studies (32 citations) and Accounting (33 citations). Michael Christl has collaborated with scholars based in Spain, Austria and Belgium. Frequent co-authors include Silvia De Poli, Alberto Tumino, Wouter van der Wielen, Salvador Barrios, Andreas Peichl, Francesco Figari, Andrea Papini, Jacopo Mazza, Chrysa Leventi and Alain Bélanger. Their work appears in journals such as International Tax and Public Finance, The Journal of Economic Inequality, Empirica, Kyklos and Economic Analysis and Policy.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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